Managing the data resource: a contingency perspective
MIS Quarterly
Information systems innovation among organizations
Management Science
Using EIS to respond to dynamic business conditions
Decision Support Systems - Special issue on executive information systems
Development practices for executive information systems: findings of a field study
Decision Support Systems - Special issue on executive information systems
Task-technology fit and individual performance
MIS Quarterly
Using interdependence as a predictor of data standards: theoretical and measurement issues
Information and Management
Leveraging the new infrastructure: how market leaders capitalize on information technology
Leveraging the new infrastructure: how market leaders capitalize on information technology
Enterprise resource planning: the role of the CIO and it function in ERP
Communications of the ACM
Power, politics, and MIS implementation
Communications of the ACM
Data Warehouse: From Architecture to Implementation
Data Warehouse: From Architecture to Implementation
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
Corporate Information Factory
Decision Support in the Data Warehouse
Decision Support in the Data Warehouse
Building Effective Decision Support Systems
Building Effective Decision Support Systems
The benefits of data warehousing: why some organizations realize exceptional payoffs
Information and Management
Destination information systems: design issues and directions
Journal of Management Information Systems - Special section: Strategic and competitive information systems
A framework for data warehouse refresh policies
Decision Support Systems
A Contingency Approach to Software Project Coordination
Journal of Management Information Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
International Journal of Information Management: The Journal for Information Professionals
Decision Support Systems
Hi-index | 0.00 |
Even though data warehousing has been in existence for over a decade, companies are still uncertain about a critical decision - which data warehouse architecture to implement? Based on the existing literature, theory, and interviews with experts, a research model was created that identifies the various contextual factors that affect the selection decision. The results from the field survey and multinomial logistic regression suggest that various combinations of organizational factors influence data warehouse architecture selection. The strategic view of the data warehouse prior to implementation emerged as a key determinant. The research suggests an overall model for predicting the data warehouse architecture selection decision.